Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
论文与出版物
论文与出版物
按年份分类的论文与出版物
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Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
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ProLinguist: Program Synthesis for Linguistics and NLP
Partho Sarthi, Monojit Choudhury, Arun Iyer, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani
International Joint Conference on Artificial Intelligence Workshop on Neuro-Symbolic Natural Language Inference (NSNLI-IJCAI) | August 2021
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
2021 International Conference on Machine Learning | July 2021
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Synthesis and machine learning for heterogeneous extraction
Arun Iyer, Manohar Jonnalagedda, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani
Programming Language Design and Implementation (PLDI) | June 2019
按研究领域分类的论文与出版物
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Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
ProLinguist: Program Synthesis for Linguistics and NLP
Partho Sarthi, Monojit Choudhury, Arun Iyer, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani
International Joint Conference on Artificial Intelligence Workshop on Neuro-Symbolic Natural Language Inference (NSNLI-IJCAI) | August 2021
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
2021 International Conference on Machine Learning | July 2021
Synthesis and machine learning for heterogeneous extraction
Arun Iyer, Manohar Jonnalagedda, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani
Programming Language Design and Implementation (PLDI) | June 2019
-
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
Synthesis and machine learning for heterogeneous extraction
Arun Iyer, Manohar Jonnalagedda, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani
Programming Language Design and Implementation (PLDI) | June 2019
-
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
2021 International Conference on Machine Learning | July 2021
按类型分类的论文与出版物
-
Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
ProLinguist: Program Synthesis for Linguistics and NLP
Partho Sarthi, Monojit Choudhury, Arun Iyer, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani
International Joint Conference on Artificial Intelligence Workshop on Neuro-Symbolic Natural Language Inference (NSNLI-IJCAI) | August 2021
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
2021 International Conference on Machine Learning | July 2021
Synthesis and machine learning for heterogeneous extraction
Arun Iyer, Manohar Jonnalagedda, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani
Programming Language Design and Implementation (PLDI) | June 2019
-
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022